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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Transmission of large amounts of scientific data using laser technology

Journal of Physics: Conference Series. 2016. Vol. 740. No. 012015. P. 1–6.
Isaev E., Tarasov P.
Currently, the volume of figures generated by different research scientific projects (the Large Hadron Collider (Large Hadron Collider, LHC), The Square Kilometre Array (SKA)), can reach tens of petabytes per day. The only technical solution that allows you to transfer such large amounts of scientific data to the places of their processing is the transfer of information by means of laser technology, using different propagation environment. This article discusses the possibility of data transmission via fiber-optic networks, data transmission using the modulation binary stream of light source by a special LED light source, the neccessity to apply laser technologies for deep space communications, the principle for an unlimited expansion of the capacity of laser data link. Also in this study is shown the need for a substantial increase in data transfer speed via a pre-existing communication networks and via the construction of new channels of communication that will cope with the transfer of very large scale data volumes, taking into account the projected rate of growth.
Research target: Physics Computer Science
Priority areas: IT and mathematics business informatics
Language: English
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DOI
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Keywords: компьютерная сетьвысокоскоростная передача данныхlaser technology
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